Day 49: Adding a Monetization Layer to my Serverless App 💸

If you are building a SaaS or Fintech application, eventually you need to figure out how to monetize it. Today, I added a Cross-Selling Recommendation Engine to my Serverless AI Financial Agent. The Concept: My backend already calculates a Financial Score (0-100) based on the user's spending habits. I created a new Python function that evaluates this score alongside their available cashflow to recommend specific financial products. Python def generate_financial_offers(score, income, expenses): net_surplus = income - expenses offers = [] # High Score + Cashflow = Credit Card Upsell if score >= 70 and net_surplus > 500: offers.append({ "type": "CREDIT_CARD", "title": "FinAI Premium Rewards", "description": "Pre-qualified for our 2% cashback card." }) # Low Score + Debt = Consolidation Loan elif score < 50 and net_surplus < 0: offers.append({ "type": "LOAN", "title": "Debt Consolidation Loan", "description": "Consolidate your debt today with a 5.9% APR loan." }) return offers